Junwei Han

43.7k citations
554 papers · 34.9k · 23 hit papers · h-index 93

Impact in

    • Advanced Neural Network Applications
    • Visual Attention and Saliency Detection
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Remote-Sensing Image Classification

Papers in

Junwei Han

533 papers receiving 34.3k citations

Junwei Han's Hit Papers

VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning 2024 · 80 citations
800+3+6Years since publication5001k1.5k

Peers

Junwei Han
Comparison fields: 5 of 178
  • Computer Vision and Pattern Recognition 20.1k
  • Media Technology 7.6k
  • Artificial Intelligence 4.5k
  • Computational Mathematics 67
  • Cognitive Neuroscience 2.1k
Replace Alan Yuille with:
Alan Yuille United States
Alexander C. Berg United States
Stephen Ching-Feng Lin China
In So Kweon South Korea
Andrew Rabinovich United States
Rama Chellappa United States
Wei Dong China
Xiaogang Wang Hong Kong
Zhuowen Tu A United States
Junwei Han relative to Alan Yuille United States Alan Yuille's profile →
Citations per field
00.5×1.5×2×2.4×
Alan Yuille · 1×
Citations per year

Countries citing papers authored by Junwei Han

Since Specialization
Citations

This map shows the geographic impact of Junwei Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junwei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Han more than expected).

Fields of papers citing papers by Junwei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junwei Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junwei Han. The network helps show where Junwei Han may publish in the future.

Co-authors

The 25 scholars most cited alongside Junwei Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junwei Han Line = papers co-authored together Junwei Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 554 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Object detection in optical remote sensing images: A survey and a new benchmark
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20191726
2
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
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20161534
3
A survey on object detection in optical remote sensing images
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20161190
4
When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs
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20181097
5
Oriented R-CNN for Object Detection
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2021940
6
Multi-class geospatial object detection and geographic image classification based on collection of part detectors
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2014823
7
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
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2020785
8
PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection
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2018708
9
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection
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2016678
10
Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning
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2014641
11
Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey
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2018517
12
Towards Large-Scale Small Object Detection: Survey and Benchmarks
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2023456
13
Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework
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2016455
14
Visual Saliency Transformer
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2021438
15
Background Prior-Based Salient Object Detection via Deep Reconstruction Residual
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2014397
16
Anchor-Free Oriented Proposal Generator for Object Detection
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2022369
17 2017368
18 2018365
19 2005344
20
Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning
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2016311

About Junwei Han

Junwei Han is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology, Artificial Intelligence and Computational Mechanics, having authored 554 papers that have together received 34.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (104 papers), Functional Brain Connectivity Studies (100 papers), Visual Attention and Saliency Detection (74 papers), Remote-Sensing Image Classification (53 papers), Domain Adaptation and Few-Shot Learning (38 papers), 3D Shape Modeling and Analysis (33 papers), Image Retrieval and Classification Techniques (32 papers) and Advanced Image and Video Retrieval Techniques (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (20.1k citations), Media Technology (7.6k citations), Artificial Intelligence (4.5k citations), Computational Mathematics (67 citations) and Cognitive Neuroscience (2.1k citations). Junwei Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gong Cheng, Lei Guo, Dingwen Zhang, Nian Liu, Xiwen Yao, Peicheng Zhou, Xingxing Xie, Chunbo Lang, Gang Wan and Liqiu Meng. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Neural Networks and Learning Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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